Quantify the urgency, learn from local pioneers, and see how Thai-hosted AI lets you modernise without giving up control.
Align leadership on the regional readiness gap
Scale assistants across business units on Thai infrastructure
Protect strategic data while demonstrating enterprise ROI
Regional peers are compounding value while local readiness gaps persist.
Thai enterprises using AI today compared with Singapore, highlighting the readiness gap.
Economic value Thailand can unlock by accelerating enterprise AI adoption.
Executives citing data security as the primary barrier to AI adoption.
Projected uplift to Thailand's economy by 2030 if GenAI is scaled responsibly.
AI-trained professionals still needed to meet national readiness goals.
Share of GenAI adopters Deloitte expects to run AI agents by 2027, signalling how quickly the region is moving.
Hyperscaler regions are live and a ฿25B national plan is underway, yet only 18 percent of Thai enterprises have integrated AI into operations.
Each quarter of delay compounds the talent shortage and widens the productivity divide with regional competitors.
National strategy launched but adoption trails SEA peers
95 percent of executives cite skills and governance blockers
Delay risks forfeiting trillions of baht in new growth
“Thailand has a national AI strategy, but lacks AI-specific laws and risk-based mechanisms. A talent gap of 80,000 AI professionals persists.”Thailand Development Research Institute, 2025
Chaeth's readiness diagnostics surface capability gaps and prioritise moves that accelerate enterprise rollout without sacrificing governance.
PwC projects up to a six percent GDP uplift for Thailand if AI adoption accelerates. Early movers are already compressing launch cycles and redeploying talent to higher-value work.
Boards expect more than experiments—agentic workflows and change management prove value across whole business units.
SEA pioneers ship faster with AI-enabled teams
Deloitte sees half of adopters deploying agents by 2027
Thai leaders cite growth and efficiency, not hype
“Organizations are reallocating resources to focus on value creation and scaling AI across the enterprise.”McKinsey, The State of AI 2025
Chaeth co-designs Thai-hosted AI rollouts that tie directly to KPIs, revenue, and productivity improvements.
Forty-one percent of Thai executives cite data security as the primary barrier to AI adoption, while PDPA requires purpose-bound usage and auditability.
Private, Thai-hosted infrastructure lets teams move quickly without sending sensitive data to foreign clouds.
PDPA compliance needs transparent data governance
Risk teams require audit trails and retention controls
Private deployments keep strategic data in-country
“Data and data security remain major concerns—41 percent report security as the primary barrier to AI adoption.”Appsmith, Beyond the Hype Survey 2025
Chaeth delivers Thai-hosted deployments with the controls, audit trails, and integrations risk teams need before scaling enterprise AI.
Thai financial leaders such as SCBX and KBTG have set AI-first roadmaps, pairing talent programmes with automation to hit growth targets.
National initiatives are aligning regulators, enterprises, and universities—standing still means losing ground to peers already scaling.
SCBX published an AI outlook guiding subsidiaries
KBTG's 5+1 pillars focus on productivity and services
Government programmes accelerate nationwide adoption
“AI adoption for all stakeholders nationwide is an unavoidable move to help boost Thailand's GDP.”Bangkok Post, Nationwide AI Adoption Initiative, 2025
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